Automatic classification of hydrometeors based on polarimetric weather radar measurements

With the development of modern electron and computer techniques, the ability of weather radar detecting precipitation echo has been greatly improved. However, the improvement of the of echo detecting precision doesn´t mean the improvement of quantitative precipitation estimates due to different distribution and type of precipitation particles as well as other hardware factors. In this paper, the author propose to construct the membership function of fuzzy logic method based on the characteristic of scattering and orientation of different kinds of hydrometeors. The authors also present details of the algorithm for classification of hydrometeors and a methodology for sensitivity analysis to the various polarimetric variables used for classification.